This course focuses on advanced graph mining algorithms for understanding graphs and extracting patterns and relationships from them. The course covers the following topics: Graph data structures and graph databases, paths flows and fundamental graph algorithms, mining subgraph patterns, subgraph pattern matching, nearest-neighbors search, graph centrality, spectral graph theory, graph similarity & graph kernels, modularity & influence maximization, graph embeddings & graph classification, linear-algebra-based graph algorithms
SU Credits : 3.000
ECTS Credit : 10.000
Prerequisite :
Corequisite :
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